Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Visión por Computador |
Subjects |
Advanced Machine Learning for Computer Vision |
Planning |
Identifying Data | 2020/21 | |||||||||||||
Subject | Advanced Machine Learning for Computer Vision | Code | 614535008 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 2nd four-month period |
First | Obligatory | 6 | ||||||||||
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Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
Guest lecture / keynote speech | A2 B1 B2 B5 B6 B8 B10 B11 C2 C1 | 10 | 20 | 30 |
Case study | A2 B1 B2 B5 B6 B8 B10 B11 C1 C2 | 4 | 16 | 20 |
Objective test | A2 B1 B2 B5 B6 B8 B10 B11 C1 C2 | 2 | 0 | 2 |
Laboratory practice | A2 B1 B2 B5 B6 B8 B10 B11 C1 C2 | 16 | 32 | 48 |
Research (Research project) | A2 B1 B2 B5 B6 B8 B10 B11 C2 C1 | 10 | 40 | 50 |
Personalized attention | 0 | 0 | 0 | |
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
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